Myntra Scraper: Fashion Products, Prices, Sizes

Myntra Scraper: Fashion Products, Prices, Sizes

Myntra scraper for India's fashion store: products from search words, category pages, brand pages, product links or style ids, with price, MRP, discount, rating, every size, the buy box size with its stock count and seller, coupon and best price. No login and no Myntra account: nothing from you but the input. Add the full product record (stock per size and per seller, every seller), written reviews, delivery to a pincode, or a monitor that keeps only new products or watches prices and stock.

Quick start

1. Open the Actor's Input tab. The prefilled input reads the first ten products of a "kurta" search.
2. Replace the words in Search words, or paste Myntra links (a category, brand, search or product page), Style ids, or pick a Category.
3. Narrow it if you like: Gender, Brands, Colours, Sizes, price range, Minimum discount, Minimum rating and Myntra's Sort orders.
4. Turn on the add-ons you need: Product details, Reviews, a Delivery pincode.
5. Set Max products per search (the form starts at 10; 100 when left empty, up to 500,000) and click Start.
6. Download the dataset as JSON, CSV, Excel or HTML, or read it through the Apify API. The Products, Reviews and Price and stock watch views show the columns of each kind of row; to keep one kind only, filter on the type field.

What you get

Every product row (type: "product") is one Myntra style, charged as one Product event. Review rows (type: "review") come only when you turn reviews on, and watch rows (type: "product_check") only under a monitor in changes mode. Each search, category or listing link also gets one free coverage row (Myntra's total, pages read, products delivered, repeats, filtered, and why the walk stopped), and every run ends with a free summary row, also stored as RUN-SUMMARY in the run's key-value store.

Main fields and measured fill rates

Measured on the platform on 2026-10-20 over 1,195 product rows from six runs of the live matrix on this Actor (build 0.1.4; the code that builds a row is unchanged since): a 1,000 product "saree" walk, two pages of the men-tshirts category, a "sneakers" search with sponsored products, a filtered "kurta" search, the prefilled input and an empty input. Field names are exactly what the dataset holds.

Field	What it holds	Filled (measured)
productId, url, name, brand	Myntra's style id, the product link, name and brand	100 percent
price, mrp, discount, discountPercent	Selling price and MRP in rupees, the discount in rupees and in percent	100 percent
inStock, sizes	In stock or not, and every size Myntra lists for the style	100 percent
buyBoxSize	The size Myntra's buy button sells first, with its skuId, stock count and available flag	100 percent, stock count included
buyBoxSellerPartnerId	The seller of that buy box	100 percent
colour, gender, category, images, catalogDate	Colour, gender, article type, image links, the date Myntra catalogued the style	100 percent
season	Myntra's season label	99.7 percent
tags	Myntra's product labels ("Deal of the Day", "Price Crash", "Bestseller in ATG")	93.6 percent
couponCode, bestPriceWithCoupon	The coupon Myntra shows and the price with it (also couponDiscount, couponEndsAt)	84.4 percent
ratingCount	Number of ratings	100 percent (0 when unrated)
rating	Average stars	66.9 percent (Myntra shows no rating on new products)
colourVariantIds	Style ids of the other colours of the same product	62.3 percent
deliveryPromise, deliveryDate, expressDelivery	Myntra's delivery promise for your pincode	0 without a pincode; with one, the rows Myntra sends a promise for (26 of 50 kurta rows with 560001 in the research, 1 of 5 sneakers rows with 110001 in the matrix)
brandLogo	The brand's logo image	36.0 percent
serviceableSizes	Sizes Myntra marks serviceable	0 of 1,195 (Myntra sends it empty on search rows)
videos	Product video links	0 of 1,195
futureDiscountedPrice	A coming price Myntra announces	0 of 1,195
isSponsored, sponsoredRank, adSlotType, adCampaignId	Sponsored flag, order among the sponsored tiles, Myntra's ad slot (TOP_OF_SEARCH or SEARCH) and campaign id	sponsored rows only, with Include sponsored products
position, page, pagePosition	Place among the organic results, the results page, and the tile's place on that page as Myntra lays it out (sponsored tiles counted, banners not)	page and pagePosition on every search row (pagePosition when Myntra sends its page layout), position on organic rows (98.8 percent of the 1,195, the rest sponsored)
source	Which input found the row: kind, input position, search words or page name	every row

Also on every row: discountLabel, currency (INR), subCategory, masterCategory, year, futureDiscountStartsAt, scrapedAt.

Example row (real, trimmed)

The first product of the prefilled "kurta" search, read on the platform on 2026-10-20 (run 1Rk6hZUss8hlbFdui, build 0.1.5):

{
  "type": "product",
  "productId": "34718633",
  "url": "https://www.myntra.com/Kurtas/Sangria/Sangria-Boys-Abstract-Printed-Mandarin-Collar-Cotton-Straight-Kurta/34718633/buy",
  "name": "Sangria Boys Abstract Printed Mandarin Collar Cotton Straight Kurta",
  "brand": "Sangria",
  "price": 589,
  "mrp": 2999,
  "discount": 2410,
  "discountPercent": 80,
  "discountLabel": "(80% OFF)",
  "currency": "INR",
  "rating": 4.43,
  "ratingCount": 1210,
  "inStock": true,
  "sizes": ["1-2Y", "2-3Y", "3-4Y", "4-5Y", "5-6Y", "6-7Y", "7-8Y", "8-9Y"],
  "buyBoxSize": { "label": "8-9Y", "skuId": "111642195", "stock": 10011, "available": true },
  "buyBoxSellerPartnerId": "23128",
  "colour": "Blue",
  "colourVariantIds": ["32597461", "36802245"],
  "gender": "Boys",
  "category": "Kurtas",
  "subCategory": "Topwear",
  "masterCategory": "Apparel",
  "images": ["http://assets.myntassets.com/assets/images/2025/JUNE/4/g16xuxwY_53af57508f4f4c8b9bf3aa26aa7829f5.jpg", "..."],
  "couponCode": "BFF50OFF",
  "couponDiscount": 150,
  "bestPriceWithCoupon": 439,
  "couponEndsAt": "2026-10-25T18:29:00.000Z",
  "tags": ["New Buyers Choice", "Reviews with Images", "House of Brands"],
  "catalogDate": "2025-05-29T00:00:00.000Z",
  "season": "Summer",
  "year": "2025",
  "isSponsored": false,
  "adSlotType": null,
  "adCampaignId": null,
  "position": 1,
  "page": 1,
  "pagePosition": 1,
  "source": { "kind": "search", "input": "searchTerms 1", "searchWords": "kurta", "slug": "kurta" },
  "scrapedAt": "2026-10-20T08:30:51.358Z"
}

Speed and depth

A 1,000 product search walk took 21 to 110 seconds on the platform at 256 MB (the India evening is the slow end). Myntra pages its results with a cursor that the Actor chains from page to page, 100 products a page: the men-tshirts category was walked to 10,000 products over 101 pages in 11 minutes, and a probe walked it on to 260 pages (25,783 distinct products of 457,071 listed) with more pages still announced: no cap was met, so one walk goes as deep as the run's memory allows (about 235,000 products at 256 MB, 434,000 at 512 MB). A long walk reads about 15 products a second: raise the run's timeout for one. Myntra refuses the platform's own addresses, so every call goes through the Apify proxy: datacenter sessions first, residential India after them.

Product details (add-on)

Turn on Product details and each product row gets its full record nested as details (one Product detail event per row that carries it):

• sizes: every size with its skuId, available, stock, garment measurements and, per seller, price, mrp, stock, sellableStock, supplyType and procurementDays; plus totalStock.
• sellers (with sellerCount): every seller's name, display name and full address.
• ratingHistogram (1 to 5 stars), reviewCount, reviewImageCount, colourSiblings, attributes (fabric, fit, pattern and the rest Myntra lists), description, materialAndCare, sizeAndFit, manufacturer, importer, countryOfOrigin, returnPeriodDays, returnable, exchangeable, cashOnDeliveryEnabled, tryAndBuy, bankOffers, discountEndsAt, sizeChartImage, and coupons (the best coupon and the list for the buy box seller).

Stock per size and per seller and the seller names were present on every product that has a seller (30 of 31 products read in the research probe; an old sold out style has none), and the star breakdown on 27 of 31. With details on, the row's price, MRP, discount, stock and rating come from the record, which is newer than the search row, and every filter is checked again on them (a product that no longer passes is free). A record that could not be read is not charged (detailsStatus says why). A record whose offers or delivery to your pincode could not be read is still delivered, free, with detailsStatus: "partial" and detailsMissing naming the part.

Reviews (add-on)

Turn on Reviews and each product gets its written reviews as rows of their own (one Review event each): reviewId, productId, reviewedProductId, rating, text, sizeBought, images, videoCount, upvotes, downvotes, reviewerName, reviewedAt. Choose newest first (default) or most helpful first, all stars or one star value, and up to 2,000 reviews a product (20 by default). Myntra pools reviews across the colour versions of a product, so reviewedProductId names the colour that was reviewed. The product row says how many came (reviewsDelivered) and whether they were read (reviewsStatus); a product whose reviews run past the 200 review pages one product reads (4,000 reviews, only reached when a monitor already knows most of them) is marked partial with reviewsLeftOut: "review_page_bound".

Delivery to a pincode

Give an Indian Delivery pincode (six digits). Search, category and listing rows then carry Myntra's deliveryPromise, deliveryDate and expressDelivery for it (measured: 26 of 50 rows of a kurta search with 560001 in the research, 1 of 5 rows of a sneakers search with 110001 in the platform matrix: Myntra sends a promise for some rows only). With Product details on, details.pincodeDelivery says whether the product can be delivered there, whether cash on delivery is offered, and for every size and seller whether it is deliverable and with which payment modes. The pincode itself is free.

Monitor: new products only, or a price and stock watch

Set Monitor name and schedule the run. The Actor remembers what it delivered under that name in a key-value store it creates itself.

• new_only (default): searches, categories, links and style ids deliver and charge only products, and reviews, not delivered before under this name. Known products are skipped before anything is read for them, free.
• changes: for product links and style ids only. Every watched product is read each run and delivered as one product_check row: price, mrp, discountPercent, inStock, totalStock, every size with its availability, stock and price, changeType (baseline the first time, then changed or unchanged) and changes (each with field, from and to for price, MRP and total stock, and a sizes entry when any size's availability, stock or seller price moved). Each row is one Product check event, the first run included. Give searches and categories their own new_only run.
• Reset the monitor forgets the memory and starts again.

How much does it cost to scrape Myntra?

You pay per event, per 1,000 events, by your Apify plan:

Event	What it is	FREE	BRONZE	SILVER	GOLD
Product (primary)	One Myntra product row	$1.06	$0.97	$0.88	$0.76
Product detail	The full record of one delivered product (add-on)	$1.95	$1.90	$1.85	$1.75
Review	One written review row (add-on)	$0.95	$0.70	$0.48	$0.45
Product check	One watched product read again by a changes monitor	$0.90	$0.85	$0.80	$0.70

Platinum and Diamond plans pay the Gold price. The Actor start is $0.006 per run, flat on every plan, with no discount; it is charged per GB of run memory, and this Actor runs at 256 MB by default and at most 512 MB, so a run pays it once.

The Store pricing card shows these same prices per 1,000 events: "$0.76 / 1,000" on the Product row means one product costs $0.00076, less than a tenth of a cent.

Worked examples (GOLD)

• 1,000 products from one search: 1,000 x $0.00076 = $0.76, plus the $0.006 start = $0.766 (on the FREE plan: $1.06 + $0.006 = $1.066).
• 100 products with Product details and 20 reviews each: 100 x $0.00076 = $0.076, plus 100 x $0.00175 = $0.175, plus 2,000 x $0.00045 = $0.90, plus the $0.006 start = $1.157.
• A daily price and stock watch of 200 product links: 200 x $0.0007 = $0.14, plus the $0.006 start = $0.146 a run.

What is free

Style ids Myntra does not have, searches Myntra rewrote into something else, typed or pasted as a search link (unless you turn on Take Myntra's results for words it rewrote), a search page on which Myntra did not apply a filter that was sent (the search stops there), products left out by your filters, products found twice in a run, products and reviews a new_only monitor delivered before, pages read only to reach the start page, failed calls, product records that could not be read, partial product records, and every status, coverage and summary row. If you set a maximum charge for the run, add-on rows are cut first and the run stops before it passes the limit.

Input

An input that names nothing to read runs the sample: the first ten products of a "kurta" search.

What to read

• searchTerms: search words, one search per entry (up to 200), each up to 100 characters.
• startUrls: myntra.com links (up to 1,000): a category, brand or search page (its filters, price range, sort and page are kept unless you set your own) or a product page (https://www.myntra.com/18389666 or the long .../18389666/buy form).
• productIds: style ids, the number in a product link (up to 5,000).
• category: one of 40 common category pages (men-tshirts, sarees, women-kurtas-kurtis-suits, lipstick and more); any other category page can be pasted as a link.

Filters

genders (men, women, boys, girls, unisex), brands, colours, sizes (several values each, as Myntra writes them), minPrice and maxPrice in rupees, minDiscount (1 to 90 percent), minRating (0 to 5, applied to every row; a search stops after three pages in a row without a match), sort (relevance, new, popularity, price_low_to_high, price_high_to_low, discount, customer_rating), includeSponsored (sponsored products flagged with their slot, each checked against every filter) and includeRewrittenSearches. Myntra applies the filters itself and the Actor checks that Myntra's answer confirms each one, price and discount ranges with their bounds (where it does not, the search stops there and that page is free). Brand, colour, gender, price, discount and rating are also checked on every row, a pasted link's own filters included; sponsored rows are checked on their sizes too, and are left out when a link carries a filter no row field shows (fabric, for example). They apply to searches, categories and listing links; product links and style ids are read as given.

Limits

maxItemsPerSearch (1 to 500,000, default 100), maxItems (the whole run, up to 500,000), startPage (1 to 20, Myntra's own pages of 50 products: page 3 starts at product 101, as on myntra.com; a link's p reads the same way) and maxPagesPerSearch (1 to 5,000, counted from the start page; pages of 100 products, or of the per search cap when it is smaller, and Myntra's pages of 50 when a start page is set). Turn on expandSubcategories to read a search, category or listing one subcategory at a time: the Actor reads Myntra's own list of the categories under it (for men-clothing, 69 of them from Blazers to Track Pants, with their counts) and walks each as its own search, with its own coverage row and its own maxItemsPerSearch; a free note row lists the subcategories and counts, and names any products Myntra counts under none of them (for men-clothing 7 of 1,411,766 on 2026-10-20), which the split does not read. When the listed counts fall more than 0.1 percent short of the total, the search is read whole instead. Without maxPagesPerSearch a search reads at most 5,000 pages; a search that still has more is reported partial in its coverage row. A very large run (hundreds of thousands of products or reviews in one run) keeps every product and review it met in memory to never deliver one twice; before its memory fills it stops cleanly (memory_bound, with its coverage and summary rows). A 256 MB run holds about 235,000 products or 470,000 reviews; a 512 MB run about 434,000 products or 868,000 reviews. For a large category give the run 512 MB; a category larger than that (men-tshirts lists about 457,000) is read across runs, by subcategory or price range.

Add-ons

includeDetails, includeReviews, maxReviewsPerProduct (1 to 2,000, default 20), reviewsSort (newest or helpful), reviewsRating (all or 1 to 5), pincode.

Monitor

monitorName, monitorMode (new_only or changes), resetMonitor.

Run

maxRequestRetries (1 to 5, default 3), requestTimeoutSecs (5 to 60, default 15; a proxy session that runs into it, or answers two calls slower than 8 seconds, is replaced by a fresh one), requestDelayMs (a pause before every request to Myntra, 0 to 10,000 milliseconds, default none), maxCallsPerSession (move to a fresh proxy session after that many requests, 1 to 1,000; left empty, a session is kept while Myntra answers it, the cheapest and fastest way), proxyConfiguration (default: Apify datacenter sessions on networks Myntra lets in, then residential India only when those are spent; Apify proxy groups picked here are not used, and the run says so in a note; your own proxy links are used as given; a run with every proxy turned off is refused, because Myntra refuses the platform's own addresses).

Examples

A category with filters, cheapest first:

{ "category": "women-kurtas-kurtis-suits", "brands": ["Libas", "Anouk"], "minPrice": 500, "maxPrice": 2000, "minDiscount": 30, "sort": "price_low_to_high", "maxItemsPerSearch": 500 }

Style ids with details, reviews and a pincode:

{ "productIds": ["18389666"], "includeDetails": true, "includeReviews": true, "maxReviewsPerProduct": 100, "pincode": "560001" }

A daily price and stock watch:

{ "productIds": ["18389666", "41666539"], "monitorName": "my-watchlist", "monitorMode": "changes" }

Use it from the API

Each call runs the Actor and returns its dataset (product rows plus the free coverage and summary rows; filter on type). The synchronous endpoint waits up to 300 seconds, so keep these runs small or start a normal run for large ones. Replace <YOUR_API_TOKEN> with your Apify API token.

curl

curl -X POST "https://api.apify.com/v2/acts/automation_craft~myntra-scraper/run-sync-get-dataset-items" \
  -H "Authorization: Bearer <YOUR_API_TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"searchTerms": ["levis jeans"], "maxItemsPerSearch": 50}'

Node.js

const res = await fetch('https://api.apify.com/v2/acts/automation_craft~myntra-scraper/run-sync-get-dataset-items', {
    method: 'POST',
    headers: { Authorization: 'Bearer <YOUR_API_TOKEN>', 'Content-Type': 'application/json' },
    body: JSON.stringify({ startUrls: [{ url: 'https://www.myntra.com/roadster' }], maxItemsPerSearch: 50 }),
});
const rows = await res.json();
const products = rows.filter((row) => row.type === 'product');
console.log(products.length, products[0]?.price);

Python

import requests

rows = requests.post(
    "https://api.apify.com/v2/acts/automation_craft~myntra-scraper/run-sync-get-dataset-items",
    headers={"Authorization": "Bearer <YOUR_API_TOKEN>"},
    json={"searchTerms": ["red saree"], "minDiscount": 40, "maxItemsPerSearch": 50},
    timeout=320,
).json()
products = [row for row in rows if row["type"] == "product"]
print(len(products))

Use it from AI agents (MCP)

An AI agent connected to the Apify MCP server can call this Actor by its name, automation_craft/myntra-scraper, with the same input JSON as above. The dataset's field descriptions and views tell the agent what each column holds, and the free coverage row tells it what was read and why each search stopped.

FAQ

Can you scrape Myntra product variants like sizes and colors?

Yes. Every product row lists all its sizes, the buy box size with its stock count, its colour and the style ids of its other colours (colourVariantIds). Product details adds every size with its stock and price per seller, its garment measurements, and each colour sibling with its colour, link and image.

Why are there different prices for the same product on Myntra?

One style can be sold by several sellers, and each size and seller can carry its own price and stock. Product details shows exactly that: per size, every seller's price, MRP and stock, next to the buy box price on the row.

Can you monitor Myntra discounts and price changes?

Yes. Put the products in Style ids or Myntra links, set a Monitor name with mode changes and schedule the run: each run delivers one row per product with its price, MRP, stock per size and what changed since the last run, with the old and new values. For a search or category, mode new_only delivers only products not seen before.

How to search Myntra price history?

Myntra shows only today's price. A scheduled changes monitor builds the history from its own runs: every run's rows keep the price, MRP and stock of that day, and changes gives the previous value. History starts with the first run of the monitor.

Is scraping Myntra data legal?

This Actor reads only what myntra.com shows a logged out visitor: no login, no account, no cart or checkout. Review rows carry the reviewer's name as Myntra shows it, which is personal data. Whether your use is lawful depends on your purpose, your country and Myntra's terms of use, so check them for your case.

Why does this Actor run with limited permissions?

It follows least privilege: it only writes its own run's dataset and key-value store. A monitor's memory is a named key-value store the Actor creates itself under your account.

What this Actor does not do

• No price slices: it does not split a category into price ranges, because none are needed: it walks Myntra's own paging cursor, on which no result cap was met (a probe walked men-tshirts 260 pages deep, 25,783 products, with more announced), so one walk goes as deep as the run's memory allows (about 235,000 products at 256 MB, 434,000 at 512 MB); for a larger category, or to cut it into parts, use the subcategory split or the price filters.
• No login data: no account, wishlist, order, cart or checkout data, and no seller dashboard data. Prices are those myntra.com shows a logged out visitor at read time; some coupons are for new buyers only.
• No size recommendation: Myntra answers it with HTTP 503 to a logged out visitor.
• No product videos on most rows: the videos field was empty on 1,195 of 1,195 measured rows.
• No price history before your first run: history comes only from the runs of a monitor.
• No "similar products" or "frequently bought together" lists.

Changelog

See the Changelog tab. 0.1 (2026-10-15): first release.

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